Abstract The nondestructive testing technology of generated acoustic emission (AE) signals for wood is great significance the evaluation internal damages wood. To achieve more accurate and adaptive evaluation, an AE classification method combining empirical mode decomposition (EMD), discrete wavelet transform (DWT), linear discriminant analysis (LDA) classifier proposed. Five features (entropy, crest factor, pulse margin waveform factor) are selected because they sensitive to uncertainty,...

Automated fruit-picking equipment has the potential to significantly enhance efficiency of picking. Accurate detection and localization fruits are particularly crucial in this regard. However, current methods rely on expensive tools such as depth cameras LiDAR. This study proposes a low-cost method based monocular images achieve target estimation. To improve accuracy targets, especially small an advanced YOLOv8s algorithm is introduced. approach utilizes BiFormer block, attention mechanism...

In order to increase the detecting precision of surface defects in industrial hot-rolled strip steel, this paper improves network model for target detection steel based on YOLOv7 algorithm. First, minimize information loss and enhance global dimensional interaction characteristics, Global Attention Mechanism (GAM) is applied. Second, incorporates adaptive spatial feature fusion technique achieve top-level features with bottom-level features. Finally, regression function used original...

Walnuts possess significant nutritional and economic value. Fast accurate sorting of shells kernels will enhance the efficiency automated production. Therefore, we propose a FastQAFPN-YOLOv8s object detection network to achieve rapid precise unsorted materials. The method uses lightweight Pconv (Partial Convolution) operators build FasterNextBlock structure, which serves as backbone feature extractor for Fasternet extraction network. ECIoU loss function, combining EIoU (Efficient-IoU) CIoU...

In order to conveniently access information of forestry, a new technology, wireless sensor network is introduced in precision forestry applications. A monitoring system based on technology proposed, which can sample temperature, soil moisture, light intensity, nitrogen concentration and other environmental factors. The networks nodes are managed by central node collects transmits data remote host computer through GPRS. design methodology ZigBee chip 2430 presented the corresponding hardware...

Introduction Subjective cognitive decline (SCD) refers to individuals’ perceived in memory and/or other abilities relative their previous level of performance, while objective neuropsychological deficits are not observed. SCD may represent a preclinical phase Alzheimer’s disease. At this very early stage decline, intervention could slow the rate incipient prolong and preserve functional abilities. However, there is no effective treatment recommended for individuals with SCD. Acupuncture, as...

This paper proposes an effective image inpainting method using improved deep convolutional auto-encoder network. By analogy with exiting methods of based on auto-decoders, the networks are significantly more in capturing high-level features than classical exemplar. However, inpainted regions would appear blurry and global inconsistency. To alleviate fuzzy problem, we network model by adding skip connections between mirrored layers encoder decoder stacks, so that generative process area can...

Abstract Venous thromboembolism (VTE) refers to the formation of a blood clot inside veins and has high risk inducing medical accidents. An effective assessment model will help screen populations prevent occurrence VTE. In this study, 287 VTE cases were collected analyzed for factors in Chinese population. The risks evaluated using Caprini Padua models. Our results indicated that was more evaluating among hospitalized patients than model. As well, relevant surgery compared with internal...

Abstract The nondestructive testing technology of generated acoustic emission(AE) signals for wood is great significance the evaluation internal damages wood. In order to improve classification accuracy and adaptability AE signal, we selected two features(pseudospectrum, entropy) classify in process fracture using SVM classifier. three-point bending load damage experiment was utilized generate original signals. Evaluation indexes(Precision, Accuracy, Recall, F1-score, Cohen Kappa score,...

Abstract Rationale: Synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome is a rare auto-inflammatory disease with no standardized treatment. Systemic corticosteroids are only transiently effective, but long-term use would bring complications not remission. Bone scintigraphy first-line method for systematic evaluation of osteoarticular lesions seems to show an “imprinting” pattern. Patient concerns: A 31-year-old female patient presented significant palmoplantar pustulosis...

Calcium gluconate is widely used to treat neonatal hypocalcemia, severe hyperkalemia, and convulsions. However, extravasation of calcium can lead iatrogenic calcinosis, causing symptoms such as local redness swelling, cutaneous plaque, soft tissue calcification, necrosis. Therefore, this study retrospectively analyzed the conservative treatment results calcinosis. Data neonates diagnosed with calcinosis cutis caused by exudation between December 2012 June 2021 were retrospectively. The...

<title>Abstract</title> Pecans have rich nutritional value and high economic value. Fast accurate shell kernel sorting will improve the efficiency of its automated production. Therefore, we propose a FastQAFPN-YOLOv8s target detection network to achieve fast unseparated materials. The method uses lightweight Pconv operators build FasterNextBlock structure, which serve as backbone feature extractor for Fasternet extraction network. ECIoU loss function combining EIoU CIoU speeds up adjustment...

Abstract The recognition and spatial coordinate positioning is an important part of picking equipment fruits. This paper introduced a method target detection pixel learning fruits based on the Darknet depth framework YOLOv4. We utilized GPU training in Ubuntu 19.10, used 2000 images various as set for model training, performed verified tests environment. results showed that accuracy fruit above 94%, time single image 12.3ms, rate video 17f/s. actual test system has good stability, real-time...

The Tie-2 receptor has been shown to play a role in angiogenesis atherosclerosis. conventional method assaying the level of soluble (sTie-2) was ELISA. However, this some disadvantages. aims research are establish more simple detection method, optical protein-chip based on imaging ellipsomtry (OPC-IE) applying assay. sTie-2 biosensor surface silicon wafer prepared first, and then serum levels 38 patients with AMI were measured admission (day 1), day 2, 3 7 after onset chest pain 41 healthy...

Estimating the motions of common carotid artery wall plays a very important role in early diagnosis atherosclerotic disease. However, disturbances caused by either instability probe operator or breathing subjects degrade estimation accuracy arterial motion when performing speckle tracking on B-mode ultrasound images. In this paper, we propose global registration method to suppress external before estimation. The local vector images, transformed from were used for registration. To take...

Abstract Rationale: Thymoma is the most common primary tumor in anterior mediastinum. All major subtypes of thymoma can be clinically aggressive. However, type A usually benign and rarely invasive, let alone invasive to trachea. There are no published reports diagnosed a “coughed up’ tissue”. Here, we report an 80-year-old man who coughed up piece tissue which was histopathologically as thymoma. Patient concerns: An had history for 8 years admitted our hospital with his severe cough dyspnea...

Semantic face inpainting from corrupted images is a challenging problem in computer vision and has many practical applications.Different well-studied nature image inpainting, the task often needs to fill pixels semantically into missing region based on available visual data.In this paper, we propose new algorithm deep generative models, which increases structural loss constraint generation model ensure that generated structure as similar possible be repaired.At same time, different weights...

To observe the clinical efficacy of Dachengqi decoction combined with octreotide in treatment patients acute pancreatitis (AP).From March 2018 to February 2021, a total 68 mild (MAP) and moderately severe (MSAP) admitted Shanghai Traditional Chinese Medicine-Integrated Hospital were included, they randomly divided into western medicine group group. The received conventional (octreotide+symptomatic treatment); group, 100 mL was taken orally on basis medicine, twice day; observation time for...

To explore the therapeutic effect and mechanism of Dachengqi decoction on patients with mild acute pancreatitis (MAP).A parallel randomized controlled trial was conducted. Sixty-eight (AP) admitted to Shanghai Traditional Chinese Medicine (TCM)-Integrated Hospital from March 2018 February 2021 were enrolled. Referring condition admission whether they agreed receive or not, divided into conventional treatment group according principle 1:1 equal randomness. Meanwhile, 20 healthy volunteers...

The analysis of acoustic emission signals from wood materials can be used to evaluate the damaged state wood, but is easily affected by various disturbances. In order damage more accurately and suppress interference signal reduce noise content, following processing methods were applied in this study. Firstly, Variational Mode Decomposition (VMD) method was decompose generated wood. A particle swarm algorithm optimize parameters method. Then effective components obtained decomposition are...